0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
Neural Correlates of Reward and Punishment Processing During Gambling-Based Decision-Making: A Simultaneous EEG-fMRI Study
Authors :
Elias Ebrahimzadeh
1
Amin Mohammad Mohammadi
2
Ahmad Hammoud
3
Lila Rajabion
4
Hamid Soltanian-Zadeh
5
1- دانشگاه تهران دانشکده علوم مهندسی
2- دانشگاه تهران دانشکده علوم مهندسی
3- دانشگاه مسکو
4- دانشگاه نیویورک
5- دانشگاه تهران دانشکده علوم مهندسی
Keywords :
simultaneous EEG–fMRI،Reward processing،Gambling-based decision-making،Win/loss gambling task،(feedback-related negativity (FRN
Abstract :
Understanding the neural feedback mechanisms underlying cognitive decision-making during reward and punishment processing is essential for elucidating brain function. In this study, we present the first simultaneous electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) investigation of a modified gambling task paradigm, employing a General Linear Model (GLM) approach. In this study, we enrolled 24 participants and acquired simultaneous high-density 65-channel EEG and fMRI recordings to investigate neural correlates of reward and punishment processing during a modified gambling-based decision-making task. We extracted time-series data of event-related potential (ERP) components from EEG signals and modeled them using a Generalized Linear Model (GLM) framework. Unlike conventional sensor-level EEG analyses in EEG-fMRI studies, our method operates directly in the source domain, providing enhanced spatial resolution for identifying neural substrates of decision-making processes. Our findings demonstrate robust activation not only in canonical reward-processing regions identified in previous studies, but also reveal significant involvement of the olfactory cortex and fusiform gyrus - areas frequently overlooked in such investigations. The data show distinct yet overlapping neural substrates for reward and punishment processing: while the orbitofrontal cortex and insula respond to both winning and losing outcomes, we observed differential activation patterns for each condition. Specifically, winning stimuli preferentially engaged the superior orbitofrontal gyrus and anterior cingulate cortex, whereas losing stimuli activated the inferior frontal gyrus, cingulate cortex, and medial superior frontal gyrus. These results provide novel insights into the neural mechanisms of reward processing, advancing our understanding of functional neuroanatomy in decision-making. Furthermore, our ERP-informed fMRI approach establishes a new methodological framework for investigating neurovascular coupling, offering enhanced spatiotemporal precision in mapping cognitive processes to their neural substrates
Papers List
List of archived papers
تحول بازاریابی در عصر دیجیتال: نقش کلیدی هوش مصنوعی
علی اکبر شهری مجارشین - علی میرطاهری
Comparative Analysis of Time-Frequency Representations for Pediatric Respiratory Sound Classification Using Deep Learning
Ghazaleh Shiri - Hanieh Bahrami - Alireza Fallahi
Using Advanced Ensemble Machine Learning Models to Predict Traffic in SDN-Based Networks: A Comparative Study of Bagging, Boosting, and Stacking Approaches
Raha Pakzad - Sasan GharaPasha - Nasrin Firouz - Ramin Habibzadehsharif
بررسی تأثیر هوش مصنوعی بر استراتژیهای بازاریابی در کسبوکارهای الکترونیک در ایران
مریم ذاکریبرنطین - هادی اسماعیلی درمیان
Multi-transform diagnostic analysis based on gradient-based features for breast cancer detection in thermal imaging
Ainaz Daneshdoust - Sedigheh Ghofrani - Mahdi Eslami - Iman Ahanian
Development of Folic Acid-Conjugated Iron Oxide Nanoparticles Loaded with Doxorubicin via Arc Discharge: A Novel Approach for Synergistic Photothermal-Chemotherapy of Cancer Using Bacterial Cellulose-Polyvinyl Alcohol Hydrogel
Saeid Orangi - Soodabeh Davaran
Recent Advances and Open Challenges in Explainable AI for Deep Learning-based Recommender Systems
Narjes Badpar - Azita Shirazipour - Seyed Javad Mirabedini
Robust Speckle Noise Reduction in IVUS Imaging: Advancing Autoencoders and Non-Local Means with Particle Swarm Optimization
Shirin Ashtari Tondashti - Navid Adib - Mehran Alyali - Mahdis Yaghoubi - Seyed Kamaledin Setarehdan
Biomechanical Contrast Between Native and Decellularized Triple-Negative Breast Tumors in Mice
Mohammad Javad Farjam - Saman Asadi - Ashkan Azimzadeh - Saeid Amanpour - AbdolMohammad Kajbafzadeh - Mohammad Ali Nazari
Distinct Neurophysiological and Psychological Effects of tVNS and Neurofeedback: Insights for EEG-Guided Neuromodulation
Seyedeh Zeinab Molaeizadeh - Aitor Aritzeta Galan
more
Samin Hamayesh - Version 42.5.2